| Literature DB >> 29351597 |
Feleke Doyore Agide1,2, Roya Sadeghi3, Gholamreza Garmaroudi3, Bereket Molla Tigabu4.
Abstract
Background: The outcome of breast cancer treatment largely depends on the timing of detection. The health promotion interventions have an immense contribution to early detection and improved survival. Therefore, this review aimed to provide evidence on the efficacy of the health promotion interventions to increase the uptake of breast cancer screening and to develop effective interventions targeting women.Entities:
Mesh:
Year: 2018 PMID: 29351597 PMCID: PMC6241206 DOI: 10.1093/eurpub/ckx231
Source DB: PubMed Journal: Eur J Public Health ISSN: 1101-1262 Impact factor: 3.367
Figure 1PRISMA flow diagram for breast cancer screening articles’ selection and evaluation
Characteristics of health promotion intervention studies and summary of findings
| First author & year | Country | Setting | Study population | Study design and sample size | Intervention and its descriptions | Outcome (Intervention vs. control, if applicable) |
|---|---|---|---|---|---|---|
| Abood et al. (2005) | USA | Population based | Women | Nonequivalent experimental design; 1104 | Phone calls and framed messages for intervention groups (Two female staff members on site who received all phone inquiries at the experimental public health unit and delivered the scripted loss-framed message telephonically.) | Odds ratio [OR] = 1.914, χ2 = 7.48 [95%CI 1.20–3.05], |
| Rao et al. (2005) | India | Community based | Rural women | Non-randomized intervention study; 360 | Health education on breast cancer and BSE by trained health workers. | Self-examination of the breast increased from 0 to 93% ( |
| Fry et al. (2005) | USA | School based | Female students | Randomized education intervention study; 197 | 90 min intervention consisted of an essay, lecture, video portraying of breast cancer, group discussions, self-test and instructions on performing BSEs for a total of 48 h. | BSE a part of a regular routine ( |
| Consedine et al. (2007) | USA | Community based | Black and white women | Intervention study; 5144 | Telephone intervention, education and training | Intervention vs. Control = 65.6% vs. 48.9% |
| Vernon et al. (2008)50 | USA | Population based | women veterans | RCT; 184 | A folder containing (1) a set of four educational booklets, (2) a letter for the woman to discuss mammography with health-care provider, and (3) a pamphlet about mammography screening through the Veterans Administration | No significant difference between intervention group and control group ( |
| Gupta et al. (2009) | India | Community based | Women | Pre-post Intervention study; 1000 | Lecture, pamphlets, flip charts and demonstration of the five step method of BSE using audio-visual aids were administrated. | 90.7% practiced (BSE) compared with 0% pre-test. and over all 53% vs. 43% of BSE practice |
| Nguyen et.al. (2009) | USA | population based | Vietnamese-American women | RCT; 1100 | The intervention group received two LHW educational sessions and two telephone calls. Both groups received targeted Media education. | Mammography use OR = 3.14 (95% CI = 1.98, 5.01) |
| Kim et al. (2009) | USA | Community based | Korean women | Quasi-experimental study; 300 | Stage model based 45-min interactive breast cancer early screening health education session (GO EARLY) in mammography use. | No statistically significant intervention effect was noted on upward shift in stage of readiness for mammography use post intervention ( |
| Lindberg et al. (2009) | USA | Health care setting | Women | RCT, 616 | A 30–45 min individual counseling session featuring BSE instruction, training and practice with silicon models, identification of barriers to BSE, and problem-solving. This intervention was followed by two brief follow-up telephone calls. | BSE intervention (0–59% vs. 0–12.2%, |
| Akhtar et al. (2010) | Saudi Arabia | Health care setting | Arabic women | Quasi-experimental study; 1766 | Breast screening program/campaigns via media channels, newspapers, exhibitions, lectures, information stalls, and posters. Awareness with interactive educational sessions. | 18% of the total population participated in mammogram screening, with high recall rate (31.6 %) |
| Arshad et al. (2011) | USA | Community based | American-Arabic women | Quasi-experimental study; 100 | Educational interventions are delivered by community health workers at their home together with their adult female family members | BSE and mammogram use regardless of their language preference [OR = 0.15; 95% CI = 0.04–0.50; (OR = 0.15; 95% CI = 0.04, 0.54, |
| Cohen et al. (2010) | Israel | Community based | Israeli-Arabic Women | Quazi experimental controlled before and after design; 67 | A religious and cultural promoter’s involved training was given for six months by trained social worker on culture-specific barriers and misconceptions. | Intervention group vs. control group (48 % |
| Bowen et al. (2011) | USA | Population- based | women | RCT; 1354 | Telephone calls.; Web/Internet intervention | Mammography in the last year intervention (69–82% vs. 71% as it is) and BSE Intervention (40–62% vs. 41–41%) |
| Engelman et al. (2011) | USA | Health care setting | Women | RCT, | One to one education delivered in person by community health workers. Follow-up telephone calls. | Intervention group vs. control (25–30% vs. 15% to no change ) |
| Hajian et al. (2011) | Iran | Community based | Women | RCT; 100 | HBM constructs based intervention (well-known psychological theories health education for breast cancer screening) | Intervention group vs. control [41–82%; vs. 31–62%; |
| Ayash et al. (2011) | USA | Community based | Women | Quasi-experimental study; 597 | Workshops, community-based participatory approach and cultural responsiveness trainings sticking to individual level risks in Arabic language. | 68% reported increased understanding of cancer screening, and 29% increase in screening |
| Dallo et al. (2011) | USA | Health care setting | Women | Quasi-experimental study, 866 | Bilingual educational intervention along with physical examination and screening | Cancer knowledge increased after intervention compared with prior to the intervention ( |
| Eskandari-Torbaghan et al. (2014) | Iran | University | Female Staffs | Randomized controlled trial; 130 | Educational intervention and training based on health belief model (perceived susceptibility, perceived benefits, and perceived barriers as well as in practice) | Behavior scores increased by 18% [1.21 (±2.54) vs. 0.15(±2.94), |
| Khalili et al. (2014) | Iran | Community based | Women | Quasi experimental study, 144 | Three sessions of training were held for case group and every session contained 1 h training. | Cases to control mean score of knowledge improved (11.7–21.81; |
| Rahman et al. (2014) | USA | Religious institutions | Korean Americans Women couple | RCT; 428 | The intervention group slogan was ‘Healthy Family, Healthy Wife’ and the control group slogan was ‘Healthy Family, Healthy Diet’ emphasize on breast screening or healthy diet. The intervention group 30-minute Korean-language DVD on breast screening, group discussion immediately after the video; couple to complete a discussion activity at home | There is no significant difference between the two groups ( |
| Taymoori, et al. (2015) | Iran | Community based | Iranian women | RCT; 184 | Health belief model and theory of planned behavior based health education | A significant intervention effect was identified ( |
| Tuzcu et al. (2016) | Turkey | Community based | Migrant women | Quasi-experimental study; 200 | Health behavior models based training in BSE and mammography was displayed visually in the film. TRAINING: demonstrated proper palpation using the breast model. Two different reminder cards BSE card, breast cancer screening methods card) and an invitation card and demonstrated proper palpation using the breast model | Increased the rate of BSE 0.8 times and the rate of mammography 0.7 times. An increase of each unit in health motivation increased the rate of clinical breast examination 1.3 times and the rate of mammography 1.5 times |
Jadad assessment criteria for quality assessment of RCTs
| Articles | Jadad quality criteria | Total scores | ||||
|---|---|---|---|---|---|---|
| Randomization | Method of Randomization described | Double blinded | Method of double blinded described | Withdrawals and dropouts described | ||
| Bowen et al. (2011) | 1 | 1 | NR | NR | 1 | 3 |
| Engelman et al. (2011) | 1 | 1 | NR | NR | 1 | 3 |
| Eskandari-Torbaghan et al. (2014) | 1 | NR | NR | NR | 1 | 2 |
| Fry (2005) | 1 | 1 | NR | NR | 1 | 3 |
| Hajian et al. (2011) | 1 | NR | NR | NR | 1 | 2 |
| Lindberg et al. (2009) | 1 | 1 | NR | NR | 1 | 3 |
| Rahman et al. (2014) | 1 | 1 | NR | NR | 1 | 3 |
| Vernon et al. (2008)50 | 1 | NR | NR | NR | 1 | 2 |
| Taymoori et al. (2015) | 1 | 1 | NR | NR | 1 | 3 |
| Nguyen et al. (2009) | 1 | 1 | NR | NR | 1 | 3 |
Note: 1= Yes; 0 = No; NR, not reported.
Shows downs and black checklist for assessing the quality of non-randomized trials and quazi-experimental studies
| Articles | Downs and black criteria for non-RCT | Total score (Total points/27) | ||||
|---|---|---|---|---|---|---|
| Reporting (10 points) | External validity (3 points) | Bias (7 points) | Confounding (6 points) | Power (1 point) | ||
| Abood et al. (2005) | 8 | 1 | 3 | 3 | 0 | 0.56 |
| Akhta et al. (2010) | 4 | 2 | 2 | 3 | 0 | 0.41 |
| Arshad et al. (2011) | 6 | 1 | 4 | 2 | 0 | 0.48 |
| Ayash et al. (2011) | 7 | 1 | 2 | 2 | 0 | 0.44 |
| Cohen (2010) | 6 | 1 | 3 | 2 | 0 | 0.44 |
| Consedine et al. (2007) | 5 | 1 | 3 | 1 | 0 | 0.37 |
| Dallo et al. (2011) | 7 | 3 | 3 | 4 | 0 | 0.63 |
| Gupta et al. (2009) | 7 | 3 | 4 | 4 | 0 | 0.67 |
| Khalili et al. (2014) | 7 | 1 | 3 | 2 | 0 | 0.48 |
| Kim (2009) | 6 | 1 | 3 | 2 | 0 | 0.44 |
| Rao et al. (2005) | 7 | 2 | 4 | 2 | 0 | 0.52 |
| Tuzcu et al. (2016) | 7 | 1 | 3 | 2 | 0 | 0.48 |
Note: 1= Yes; 0 = No; 0 = unable to determine.